Modeling Biometric Modalities onto the HBSI (Human Biometric Sensor Interaction) Method

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Research Areas: End System Security

Principal Investigator: Stephen Elliott

The goal of this research is to provide the biometrics community with a comparative evaluation method for biometric devices that uses ergonomics, usability, biometric image quality, and traditional system performance criteria to evaluate the design and functionality of biometric devices and systems. This model was initially developed using fingerprint recognition as a base modality, but as the model matures, we have started to map the other modalities onto the model. This academic year will see hand geometry and iris recognition mapped for model validation.

Personnel

Students: Mitch Mershon Benny Senjaya